Instructions to use aitestcoder/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitestcoder/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aitestcoder/distilroberta-base-finetuned-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aitestcoder/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("aitestcoder/distilroberta-base-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aitestcoder/distilroberta-base-finetuned-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/aitestcoder/distilroberta-base-finetuned-wikitext2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aitestcoder/distilroberta-base-finetuned-wikitext2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aitestcoder/distilroberta-base-finetuned-wikitext2/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 89e7b44febe622ddce1510949c49ebf83d65fc380aa3cd54bc18caadb5d33f65
- Size of remote file:
- 329 MB
- SHA256:
- e46d3edce8745b62cfa24f30deaaefc273038f6ca3ac5f678b30013d3824cc4f
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